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Data Science and Intelligent Management

Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT in Smart Healthcare

This book provides a concise and interdisciplinary introduction to sustainable development, examining its historical evolution, legal foundations, and contemporary governance challenges. It traces the emergence of sustainability from early ecological warnings to its institutionalization through international frameworks, demonstrating how sustainable development has become a central organizing principle of global policy.Organized around seven thematic chapters, the book covers the conceptual and legal foundations of sustainability, its core governance principles, socio-technical transition pathways, property and commons theory, global sustainability finance, and the implications of digitalization and artificial intelligence for development. Each chapter integrates legal analysis, governance theory, and, in some cases, real-world case studies to show how sustainability principles move from rhetoric to enforceable norms. Key features include accessible chapter abstracts, a comprehensive list of abbreviations, and a structured list of figures supporting visual learning. The book approaches sustainable development not as a technical toolkit but as a political and institutional challenge requiring systemic reform.The volume is intended for undergraduate and postgraduate students in environmental studies, law, governance, economics, and public policy, as well as researchers, practitioners, and policymakers engaged with sustainability transitions, international environmental law, and development governance.

Governance, Law, and Global Transitions

A Concise Introduction to Sustainable Development

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

Algorithmic Management: Artificial Intelligence and the Transformation of Organizations is the first comprehensive textbook designed to prepare management students to engage critically and responsibly with artificial intelligence in organizations. Bringing together classical management theory, contemporary AI applications, and systematic power analysis, the book equips future managers to both harness AI's potential and confront its risks.Structured in three parts, the book begins with foundational frameworks-socio-technical systems theory, technology and society perspectives, and core management theories reinterpreted for the AI era. It then examines applications across all major management functions-Marketing, HR, Finance, Operations, Supply Chain, and Strategy-using over 30 real-world case studies drawn from different industries, parts of the world, and types of organizations from multinational corporations to nonprofits and social ventures. The final section addresses organizational design, leadership, governance, and the future of algorithmic organizations. Throughout, pedagogical features-learning objectives, vignettes, discussion questions, toolkits, and ethical dilemmas-make the book classroom-ready and adaptable across MBA, undergraduate, and executive education settings. The text advances an approach of pragmatic criticality: AI is neither celebrated uncritically nor rejected outright but treated as a socio-technical phenomenon requiring managerial judgment, ethical reflection, and contextual awareness.By bridging management theory, functional practice, and critical perspectives, this book fills a critical market gap and is positioned to become the definitive teaching resource on AI and management for business education worldwide.

Artificial Intelligence and the Transformation of Organizations

Algorithmic Management

Hart Studies in Comparative Public Law

Theory, Practice and Problems

Automation in Governance

Dieses Buch zeigt Marketingverantwortlichen, wie sie sich von der Ausführung einzelner Aufgaben zur Orchestrierung spezialisierter KI-Agenten weiterentwickeln, und welche Prozesse, Tools und Kompetenzen sie dafür benötigen. Agentic Marketing meint ein koordiniertes System von KI-Agenten, das innerhalb menschlich gesetzter Werte und Ziele autonom plant, entscheidet und handelt – und die gesamte Wertschöpfung orchestriert, von Insights bis zum Lernen auf Organisationsebene. Florian Stompe erläutert den Paradigmenwechsel anhand einer herstellerunabhängigen Referenzarchitektur, konkreter Implementierungsstrategien für Multi-Agenten-Workflows und der Integration bestehender MarTech-Systeme. 
 
 Ein Buch für Entscheider ohne Entwicklungshintergrund, die den Wertbeitrag von KI-Agenten fundiert einschätzen möchten. Mit Fallbeispielen, Checklisten und einem direkt anwendbaren Fahrplan.
 „Florian Stompe legt den Finger auf die entscheidende Leerstelle im heutigen MarTech-Stack: die fehlende, herstellerunabhängige Orchestrierungsschicht. Er denkt die Agentic-Marketing-Debatte konsequent von der Architektur her – klar, fundiert und praxisnah.“ Dr. Ralf E. Strauß, Managing Partner MarketingTechLabDer Inhalt<ul><li>Der Paradigmenwechsel – Vom Ausführen zum Führen</li><li>Von Chatbots zu Multi-Agenten-Systemen</li><li>Die Zukunft von Marketing-Teams</li><li>Eine Agentic-Marketing-Referenzarchitektur</li><li>Data Layer – Das Gedächtnis des Systems</li><li>Decisioning Layer – Das Gehirn des Systems</li><li>Design &amp; Distribution Layer – Erlebnis und Ausführung</li><li>Orchestrierung, Governance &amp; Measurement</li><li>Multi-Agent-Workflows implementieren</li><li>Tools und Plattformen</li><li>Integration entlang der 4D-Schichten</li><li>Change Management und neue Rollen</li><li>Was schiefgehen kann – Risiken und Vermeidungsstrategien</li><li>Szenarien für 2028</li><li>
 Dein Fahrplan startet jetzt
 </li></ul>Der AutorFlorian Stompe
 berät Unternehmen dabei, datengetriebenes Marketing zu Agentic Marketing weiterzuentwickeln. Seit rund zwei Jahrzehnten arbeitet er an der Schnittstelle von Daten, Technologie und Marketing und hat über 100 Projekte zur datengesteuerten Marketing-Transformation begleitet – unter anderem für die Deutsche Telekom, 1&amp;1, die REWE Group und Fressnapf.

Wie Marketingverantwortliche Multi-Agenten-Systeme orchestrieren

Agentic Marketing – KI-Agenten als Team

Corporate Governance in the Age of Artificial Intelligence

Taylor and Francis Proceedings in Computer Science and Engineering

AI and Sustainable Imperative

Reimagining Tomorrow

An acclaimed New York Times Magazine writer brings us into the world of the controversial technology firm Palantir and its very colorful and outspoken CEO, Alex Karp, tracing the ascent of Big Data, the rise of surveillance technology, and the shifting global balance of power in the 21st century. Palantir builds data integration software: its technology ingests vast quantities of information and quickly identifies patterns, trends, and connections that might elude the human eye. Founded in 2003 to help the US government in the war on terrorism—an early investor was the CIA—Palantir is now a $400 billion global colossus whose software is used by major intelligence services (including the Mossad), the US military, dozens of federal agencies, and corporate giants like Airbus and BP. From AI to counterterrorism to climate change to immigration to financial fraud to the future of warfare, the company is at the nexus of the most critical issues of the 21st century. Its CEO, Alex Karp, is a distinctive figure on the global business scene. A biracial Jew who is also severely dyslexic, Karp has built Palantir into a tech giant despite having no background in either business or computer science. Instead, he’s a trained philosopher who has become known for his strongly held views on a range of issues and for his willingness to grapple with the moral and ethical implications of Palantir’s work. Those questions have taken on added urgency during the Trump era, which has also brought attention to the political activism of Karp’s close friend and Palantir cofounder Peter Thiel. In The Philosopher in the Valley, journalist Michael Steinberger explores the world of Alex Karp, Palantir, and the future that they are leading us toward. It is an urgent and illuminating work about one of Silicon Valley’s most secretive and powerful companies, whose technology is at the leading edge of the surveillance state.

Alex Karp, Palantir, and the Rise of the Surveillance State

The Philosopher in the Valley

You know you have more to offer, but you're tired of waiting for a seat at the table to prove it. Most emerging leaders feel stuck in a holding pattern, believing that their ability to make an impact is capped by their current title or the person above them on the org chart. But influence isn't a reward for a promotion. It's a muscle you build in the mundane, everyday moments of your current role.In 90 Days to Grow Your Influence Clay Scroggins, bestselling author of How to Lead When You're Not in Charge, provides a daily roadmap for the "not-in-charge" leader. Drawing from his foundational work on leveraging influence without authority, this 90-day reader helps you navigate the tension of having great responsibility but very little power.Each day is designed to be a "snackable" but substantial 5-minute read, perfect for your morning coffee or the commute to the office. Through a mix of relatable stories, leadership metaphors, and spiritually grounded reflections, you'll learn how to: <ul><li>Understand Identity: Secure your worth in who you are, not just what you do or what your business card says.</li><li>Lead Yourself: Master the disciplines of self-awareness and emotional intelligence.</li><li>Choose Positivity: Cultivate a resilient, solution-oriented mindset that shifts the energy of every room you enter.</li><li>Think Critically: Stop being a passive observer and start solving problems.</li><li>Reject Passivity: Take ownership of the ground you're standing on today.</li><li>Challenge Well: Influence the leaders above you with relational equity and wisdom.</li></ul>Whether you are a new hire, a middle manager, or an aspiring executive, this book is your daily reminder that your seat on the org chart doesn't define your impact. You have everything you need to start leading right where you are. Real influence starts here.

Daily Habits for Leading from Any Level

90 Days to Grow Your Influence

The Fight for the Future of Work

We Are Not Machines

Data Science and Intelligent Management

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